End of training

README.md

@@ -0,0 +1,94 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: calculator_model_test
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# calculator_model_test
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0657
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 512
+- eval_batch_size: 512
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.3733        | 1.0   | 6    | 2.7350          |
+| 2.3614        | 2.0   | 12   | 1.9851          |
+| 1.8438        | 3.0   | 18   | 1.7312          |
+| 1.6535        | 4.0   | 24   | 1.6088          |
+| 1.556         | 5.0   | 30   | 1.5621          |
+| 1.5454        | 6.0   | 36   | 1.5615          |
+| 1.5344        | 7.0   | 42   | 1.5509          |
+| 1.5163        | 8.0   | 48   | 1.5509          |
+| 1.5795        | 9.0   | 54   | 1.5492          |
+| 1.519         | 10.0  | 60   | 1.5516          |
+| 1.5289        | 11.0  | 66   | 1.5473          |
+| 1.5264        | 12.0  | 72   | 1.5323          |
+| 1.5076        | 13.0  | 78   | 1.5388          |
+| 1.5205        | 14.0  | 84   | 1.5447          |
+| 1.5105        | 15.0  | 90   | 1.5423          |
+| 1.498         | 16.0  | 96   | 1.4954          |
+| 1.4573        | 17.0  | 102  | 1.5017          |
+| 1.4452        | 18.0  | 108  | 1.5393          |
+| 1.4651        | 19.0  | 114  | 1.5054          |
+| 1.4528        | 20.0  | 120  | 1.4949          |
+| 1.45          | 21.0  | 126  | 1.6039          |
+| 1.4467        | 22.0  | 132  | 1.4438          |
+| 1.4036        | 23.0  | 138  | 1.4237          |
+| 1.3715        | 24.0  | 144  | 1.3951          |
+| 1.3506        | 25.0  | 150  | 1.3801          |
+| 1.3416        | 26.0  | 156  | 1.3267          |
+| 1.3117        | 27.0  | 162  | 1.3218          |
+| 1.276         | 28.0  | 168  | 1.2940          |
+| 1.2426        | 29.0  | 174  | 1.2387          |
+| 1.2274        | 30.0  | 180  | 1.2127          |
+| 1.2014        | 31.0  | 186  | 1.1931          |
+| 1.1727        | 32.0  | 192  | 1.1761          |
+| 1.1874        | 33.0  | 198  | 1.1635          |
+| 1.1474        | 34.0  | 204  | 1.1329          |
+| 1.1365        | 35.0  | 210  | 1.1083          |
+| 1.138         | 36.0  | 216  | 1.0891          |
+| 1.1015        | 37.0  | 222  | 1.0833          |
+| 1.0828        | 38.0  | 228  | 1.0779          |
+| 1.0941        | 39.0  | 234  | 1.0689          |
+| 1.0738        | 40.0  | 240  | 1.0657          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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generation_config.json

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special_tokens_map.json

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